Lead Game Designer in San Francisco

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you will: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the responsible use of

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We are seeking an experienced attorney to serve as the commercial legal lead for Marketing. Based in San Francisco, you will be a primary legal partner to OpenAI’s rapidly growing global Marketing organization, supporting high-impact campaigns, creative production, talent and creator relationships, sponsorships, events, and the agreements and rights that make that work possible. You will work closely with Marketing, Communications, Partnerships, Procurement, Finance, Product, and colleagues across Legal, including Product, Privacy, Regulatory, and IP/Brand, to deliver practical advice at the pace of the business. This is a unique opportunity to help shape OpenAI’s Marketing efforts, negotiate sophisticated transactions, and build scalable legal frameworks for responsible global growth. We operate on a hybrid work model of three days per week in the office and offer relocation support for new employees. In this role, you will: Serve as the commercial legal lead for Marketing, partnering closely with Brand, Creative, Product Marketing, Design, Film and Photo, Performance Marketing, Partner Marketing, Communications, and regional teams from concept through launch. Draft and negotiate a wide range of marketing and entertainment agreements, including agency, production, talent and creator, sponsorship, event, media, content-licensing, marketing-technology, and vendor agreements. Structure and clear the rights needed for campaigns and content, including talent and appearance releases, publicity and

About the Role As Head of Finance - Data Centers, you will be the finance leader for OpenAI’s self-built data center efforts. You will partner with teams across infrastructure, real estate, energy, construction, procurement, and finance to turn proposed sites into sound investment decisions and funded projects. This role spans the full development lifecycle: evaluating opportunities, building investment cases, forecasting capital needs, managing construction budgets, and helping determine how projects should be financed. You will give leadership a clear view of project economics, funding requirements, and risks as we build data center capacity at scale. In this role, you will: Lead financial evaluation of proposed data center and related power infrastructure projects, including site economics, development costs, capacity phasing, lifecycle costs, and key risks. Build and own project-level models and capital expenditure forecasts that connect construction schedules, power delivery, equipment procurement, contingencies, and funding needs. Establish capital budgets and financial controls for active builds. Track commitments, actual spending, change orders, and forecasts to completion; identify cost or schedule risks early. Partner with development, engineering, energy, construction, and procurement leaders on decisions that affect cost, timing, and long-term performance. Work with Treasury, Corporate Finance, Tax, and Legal to evaluate financing options, including project or construction debt, leases, joint ventures, and other partnership structures where appropriate. Prepare investment recommendations and capital approval materials for senior leadership, translating complex project details into clear choices and tradeoffs. Build a consistent portfolio view of project costs, cash requirements, milestones, and financial performance. Partner with Accounting and operations teams through project completion and handoff. You might thrive in this role if you have: Prior exper

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises legal professionals from diverse fields, including technology, privacy, IP, corporate, cybersecurity, employment, tax, regulatory, and litigation. About the Role We’re growing our Litigation and Regulatory team and seek an experienced counsel to lead high-stakes regulatory investigations, enforcement matters, and related litigation involving AI. You will own matters from initial inquiry through resolution, develop practical strategies for novel and technically complex issues, and translate an evolving factual record into clear advice. The role works closely with Legal, Product, Research, Safety, Security, Communications, Global Affairs, and executive stakeholders. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead regulatory inquiries, investigations, and enforcement matters in the United States and internationally, including matters involving federal agencies, state attorneys general, and international regulatory bodies. Develop strategy for contested enforcement proceedings and related litigation, including challenges to investigative demands and coordination across parallel matters. Partner with litigation and subject-matter counsel on related civil disputes, including privacy, consumer protection, class actions, cybersecurity, competition, copyright, trademark, and other IP issues. Manage subpoenas, civil investigative demands, requests for information from regulators and related entities, and discovery. Prepare employees and executives for interviews, testimony, depositions, trial, and other appearances before regulators. Negotiate resolutions to demands, complaints, and

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking Manufacturing Engineers to lead the development of processes, tooling, and prototype builds for custom motors and actuators. You will own a primary area as a Stator Process / Manufacturing Engineer, Tooling / Fixture Engineer, or Prototype Manufacturing Engineer, taking that work from early development through validation and repeatable execution in close partnership with mechanical, electromagnetic, electrical, test, quality, and supplier teams. These roles focus on the development, integration, and validation of electromechanical manufacturing capabilities, including stator winding processes, assembly and inspection tooling, and actuator prototype builds. You will help translate engineering designs into reliable hardware while establishing scalable processes, equipment, and build practices for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will Each opening focuses on one of the three specialties below, with shared responsibility for reliable processes and hardware. Stator Process / Manufacturing: develop and validate stacking, winding, termination, and potting processes. Establish process parameters, work instructions, and defect controls that produce consistent results across trained operators. Tooling / Fixture: design and deliver winding tools, assembly fixtures, inspection gauges, and bench equipment, from CAD and drawings through fabrication, commissioning, and troubleshooting. Improve setup time, labor, and repeatability. Prototype M

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the role We’re looking for a Product Marketing Manager, Advertising to bring together advertiser insights, market understanding, and product knowledge to shape positioning, inform product priorities, and deliver go-to-market initiatives that drive adoption and measurable business impact. You’ll work closely with Product, Engineering, Sales, and Partnerships to understand advertiser needs, translate complex AI capabilities into clear customer value, and bring new products and features to market. This role is ideal for someone who combines strategic thinking with hands-on execution, independently navigates ambiguity, and brings cross-functional partners together to deliver results. In this role you will: Define the product and marketing strategy for a component of OpenAI’s advertising business in partnership with cross-functional partners Develop a deep understanding of advertisers through customer research, market analysis, and competitive insights, identifying opportunities to improve positioning, adoption, and product-market fit. Own positioning and messaging for your product area, translating complex capabilities into compelling narratives for different advertiser audiences and use c

About the Team The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that power decisions across OpenAI. About the Role We’re looking for a Data Engineering Manager to lead the Growth & Revenue data engineering team. This leader will own the data strategy and execution for the data subject areas spanning growth accounting across all product surfaces, product partnerships, checkout, billing, payments, revenue, and monetization, helping OpenAI understand how people adopt, engage with, and pay for our products. You will partner closely with several Data Science, Business, and Engineering partners to connect product behavior to trustworthy subscriber, payment, and revenue measurement. In this role, you will: Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data subject areas. Define the data strategy for all the data subject areas you own. Deliver durable, well-modeled data products that connect product behavior, subscription state, checkout events, payment outcomes, and revenue. Establish trusted metric definitions and data quality standards so product, growth, finance, and executive leaders can make fast, consistent decisions. Partner with Data Science and Product teams to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics. Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to financial truth and production billing systems. Raise operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response. Set a clear roadmap, make principled tradeoffs, and communicate progress and risk across technical and business stakeholders. You might thrive in this role if yo

About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are seeking a Lifecycle Marketing Manager to build, own, and lead lifecycle programs for SMB advertisers at OpenAI. This is a zero-to-one opportunity to establish the strategy and programs that guide businesses from initial interest and their first campaign to sustained success and growth. You will set the lifecycle strategy, own the program roadmap and performance goals, and lead delivery from customer insight and journey design through launch, measurement, and iteration. Combining behavioral insights, experimentation, and personalized engagement across email, product experiences, education, and other channels, you will build programs that scale with the business. Success requires independent judgment, analytical depth, cross-functional leadership, and hands-on execution. In This Role, You Will Own the lifecycle program portfolio across prospect conversion, activation, retention, repeat spend, reactivation, and expansion. Map advertiser journeys using cohort analysis, product behavior, campaign performance, and customer feedback to identify high-impact growth opportunities. Build segmented, triggered journeys that connect advertiser needs, intent, readiness, and behavior to relevant messages and next steps. Lead prospect nurture and email acquisition

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager focused on TPUs at Baseten, you will lead the "engine room" for our non-NVIDIA accelerator fleet, architecting, securing, and optimizing the Google Cloud TPU (and broader emerging accelerator) capacity that powers our customers' AI workloads. You'll own the end-to-end journey of capacity management for this fleet, from securing large-scale TPU pod allocations to building the automation that ensures reliable uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering, with a specific focus on the TPU ecosystem. You will act as the fleet orchestrator for Google's TPU architecture, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics as we diversify beyond NVIDIA. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the latest generation of TPU hardware, like Google's Trillium (v6e) architecture, and partnering closely with the Model Performance (MP) team to ensure workloads are tuned for TPU-specific execution. EXAMPLE INITIATIVES The TPU Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's TPU clusters, including pod slicing and topology planning Global Workload Orchestration: Bui

About the Team OpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware, and operational resources required to make that demand executable. About the Role We are seeking a Technical Program Manager to build and lead capacity planning across OpenAI's large-scale AI infrastructure. You will translate uncertain workload demand into clear infrastructure requirements, allocation decisions, supply commitments, activation priorities, and long-range capacity strategies. This role sits at the intersection of research, engineering, infrastructure, finance, sourcing, deployment, and operations. You will create the planning models, operating cadences, governance mechanisms, and source-of-truth systems that allow teams to understand what capacity is required, what is available, what is at risk, and what decisions must be made. This is not a finance-only forecasting or reporting role. Success requires technical fluency across the infrastructure stack, strong analytical judgment, and the ability to move consequential decisions forward when requirements, timelines, and supply conditions change quickly. Key Responsibilities Own capacity-planning processes across near-term workload allocation, quarterly execution, and longer-range infrastructure horizons. Translate research, training, inference, and product demand into compute, accelerator, cluster, networking, storage, rack, power, and site requirements. Develop scenarios that make assumptions, confidence levels, constraints, sensitivities, and decision points explicit. Reconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity. Partner with research and engineering teams to understand workload priorities, technical dependencies, utilization patterns, and changing req

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. In this role you will You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished Run a fast, disciplined experimentation loop where hypotheses are argued before they're built Hold conversion and activation alongside ch

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. Own sourcing across optical fiber cable assembli

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Design Engineer to lead the development of motor mechanical designs and prototype hardware for advanced robotic systems. You will own stator and rotor mechanical development from early concepts and detailed design through hands-on builds and prototype validation, partnering closely with electromagnetic, electrical, test, and manufacturing teams. This role focuses on the design, integration, and validation of motor components and prototype processes, including laminations, stack assemblies, bobbins, winding interfaces, and fixtures. You will help drive motor development from initial design through repeatable low-volume builds while establishing the tooling, work instructions, and validation practices needed for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Own stator and rotor mechanical designs and released CAD and drawings, including geometry, interfaces, fits, tolerances, retention, assembly access, and mechanical validation. Develop laminations, stack assembly methods, bobbins, and winding interfaces that control alignment, insulation, conductor placement, and end-turn packaging. Design, fabricate, and debug fixtures for winding, stacking, assembly, alignment, and inspection. Build and troubleshoot prototypes. Use measurements, defects, rework, and assembly effort to improve designs and processes. Establish low-volume prototype production with equipment, build sequences, work instructions, revision control, traceability